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Smart Connected Cities 2015
Challenges Faced
MANPOWER SHORTAGE - EVERY POLICE ORGANISATION
FACES THIS PROBLEM
POOR POLICE – PUBLIC RATIO
INDIA 142 PER 100000
AS PER UN STANDARD IT SHOULD BE 222 PER 100000
SURAT Ratio – 73 POLICEMEN/100000
RAKESH ASTHAANA, IPS
Smart Connected Cities 2015
Objective of the project
INTELLIGENT SURVEILLANCE
INTELLIGENT TRAFFIC MANAGEMENT
DISASTER MANAGEMENT
ENVIRONMENT MANAGEMENT – Fire, Pollution, Water Level
with High Resolution GIS Map of Surat
RAKESH ASTHAANA, IPS
POPULATION: 5.5 Million
AREA: 326 Sq kms.
4th FASTEST GROWING CITY IN THE WORLD
FAMOUS FOR DIAMOND & TEXTILES
RAKESH ASTHAANA, IPS
DEMOGRAPHICS
47.38% FROM OTHER DISTTS OF GUJARAT
46.56% FROM OTHER STATES
VEHICULAR POPULATION 2.81 MILLION AND STILL GROWING
PROSPERITY AND PROXIMITY TO MUMBAI ATTRACTS
UNDERWORLD AND OTHER CRIMINALS
THREATS OF TERRORISM : TERROR ATTACKS IN 1993 &
2008(UNSUCCESSFUL)
POOR PUBLIC – POLICE RATIO (73 PER LAC)
RAKESH ASTHAANA, IPS
85 Strategic locations addressed
604 cameras installed
Installation of Command & Control Centre (CCC)
Installation of 280 sq. ft. Video Wall
Installation of Server Storage with 2 Petabyte capacity scalable as per
surveillance requirement
Installation of SMC – Situation Management Center Software
Integrated Building Management System for CCC
RAKESH ASTHAANA, IPS
RAKESH ASTHAANA, IPS
Fixed Camera
IBM Blade Center
PC/Workstation For ViewingLCD Monitor
Network Switch 1
Network Switch
PTZ Camera
Fixed CameraFor Analytics
IBM Storage
Video Wall
Network Switch 2
Dedicated Wide Area
Network for Police
RAKESH ASTHAANA, IPS
• State-of-the-art 280 sq. ft. LED Video Wall with large screens
• Ability to display vast array of information
RAKESH ASTHAANA, IPS
• World Class Technology
• Backbone of the IT
Infrastructure of the project
• Integrated durable system for 24
X 7 operations
• Open Architecture, Industrial-
Standard Network design and
connectivity
• Fully Scalable for any and every
surveillance requirements.
RAKESH ASTHAANA, IPS
• Incident Management of the city during natural & Man-made calamities with Disaster Management Capabilities
• 2D Mapping and report generation• Capturing, analysing, and distilling vast amounts of information to provide
security environment
RAKESH ASTHAANA, IPS
• Natural calamities like floods can be observed from CCC
• Evacuation plan in case of critical situation can be prepared using video feed
• Processions like GanpatiProcession, Tazia Procession, agitation etc. can be managed
• VIP / VVIP visits can be handled more efficiently
RAKESH ASTHAANA, IPS
• First City to introduce e – Challan System based on Surveillance input• An automated Traffic Enforcement Centre is created within the Command &
Control Centre• Payment facility at the banks
• For the First time in Gujarat, Photograph and Incident of Traffic Crime was sent through Post
Surat City Traffic Police
Traffic Violation Fine Collection Data Through E Challans
Year 2013
Month Number of Challans Challan Amount
April 8059 546275May 15075 1021500June 16393 946425July 18830 1069800
August 19442 1142725
September 16207 1078225October 17848 1186400
November 11918 801575
December 18554 1142075
Total 142326 8935000
Year 2014
Month Number of Challans Challan Amount
January 16744 990075February 14509 876825
March 20897 1203650April 17219 979950May 17092 979225June 19563 10505525
July 19096 1016350August 18141 985625
September 24512 1355125
October 28381 1571375
Total 196154 20463725
Grand Total 338480 29398725
Verint Situation Management Center (SMC) Modules
14
MAP PLANNING
ALARMSDASHBOARD
DISPATCHRESPONSE PLANNING
ASSETSINCIDENTS VIDEO WORKSPACE
INCIDENT RECONSTRUCTION
Information from all the IP devices attachedflow into the system through the Fibre OpticNetwork and the analysis is done at the CCC.
Integrated ANPR, Speed Violation Detection & Red Light Violation Detection
ANPR – Automatic Number Plate Recognition SystemCamera feeds can be processed locally or at the CCC. Useful in traffic violation,real time alert on suspected vehicle, tracing of vehicle depending on size, coloretc
Facial RecognitionFR – Facial Recognition System
Detection of person by capturing the facefrom the video frame. Works in real timemode and also can perform facial recognitionfrom Video feeds stored. Gets integrated withthe criminal database.
While the camera detected the black-listedpeople entering into the system, a quick alertis generated in Command & Control Roomwith the location details.
In the event of unforeseen incident, thesystem shall track the presence of the black-listed suspects from the recorded videos.
Road Map Ahead
Further Device Integration with CCC
1) Bomb Blast2) CBRN (Chemical Biological Radiological &
Nuclear)3) Fire4) Intrusion5) Medical Emergency – Live help with locations6) Natural Disaster7) Suspicious Object, Vehicle detection, Crowd
Gathering8) Traffic Violation – Wrong side driving, Over
Speeding
RAKESH ASTHAANA, IPS
Fixed Camera
IBM Blade Center
PC/Workstation For Viewing LCD Monitor
NetworkSwitch 1
Network Switch
PTZ Camera
Fixed CameraFor Analytics
IBM Storage
Network Switch 2
Dedicated Fiber optic
Network
RAKESH ASTHAANA, IPS
IBM Blade Center
PC/Workstation For
Viewing LCD Monitor
NetworkSwitch 1
Network Switch
Fixed CameraFor Analytics
IBM Storage
ALERT !!
Dedicated Fiber Optic
Network
RAKESH ASTHAANA, IPS
• About 27% reduction in Crime rate in the areas having maximum concentration of surveillance• No incidents of crime in the visual range of the cameras
• Surveillance system has helped in solving about 58 criminal cases: -• Murder – 3• Kidnapping – 2 • Theft – 25• Accident – 12• Missing person – 3
• E – Challans issued upto October 2014 — 338469 with collection of Rs. 1.70 Crores approx
• E – Challans — Highest realization rate in India.
Live Detection of Theft of Laptop Bag
1/6/2013, : Laptop Theft from Car
Red Car, The Owner was falsely misguided by one miscreants that there is a oil leak.
Owner came out of the Car and he was watched by Miscreants associate
The Man waited for the Car owner to open his Bonnet
Once the Car Owner was busy looking at Engine, the Thief took away the laptop
The entire incident was captured in CCTV Footage Attached
The Culprits were subsequently caught
Fatal Accident Causing Tempo Traced
• 13/02/2013• Reporting and Tracing Fatal Accident• Police Got a Call about a Brown Tempo
that has done a Fatal Accident. • In Camera 1, it was traced at Makkai
Pool • Subsequently all entry and exit points
were alerted and Video was monitored. • The Tempo was traced at Nivol and it
was captured
Fire & Disaster Incident
• Fire Caught in IOC at Hazira• Evacuation plan was executed
under this critical situation usingvideo feed
• Since the Software is capable ofrecognizing noise of explosionand fire, the incident could berecognized and evacuation teamwere brought in action
Murder Case: Assassins Caught in Camera
Assassins trapped in camera located at Makai Pool after the murder
Assassins trapped in camera located at Old Civil Court Chowk
RAKESH ASTHAANA, IPS
• Increase the number of cameras gradually in phases to total of
5000 cameras
• Coastal Security Enhancement by addition of cameras covering
more coastal area
• Have command centres at different zones
• Have a DR site to ensure data safety
• Integration of various sensors – pollution, water level etc. for a
Safer City experience